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human preference

172 papers

Papers

On Diversified Preferences of Large Language Model Alignment EMNLP 2024 On Online Experimentation without Device Identifiers ICML 2024 On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models IJCAI 2024 Optimizing Language Models for Human Preferences is a Causal Inference Problem UAI 2024 PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation ICML 2024 Perplexity-aware Correction for Robust Alignment with Noisy Preferences NeurIPS 2024 Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation ICML 2024 Prediction-Powered Ranking of Large Language Models NeurIPS 2024 Preference-Guided Reflective Sampling for Aligning Language Models EMNLP 2024 PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference NeurIPS 2024 Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences CVPR 2024 Prototypical Reward Network for Data-Efficient RLHF ACL 2024 RAIN: Your Language Models Can Align Themselves without Finetuning ICLR 2024 Reinforcement Learning from Diverse Human Preferences IJCAI 2024 SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset NeurIPS 2024 Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation NeurIPS 2024 Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community ICLR 2024 SpeechAlign: Aligning Speech Generation to Human Preferences NeurIPS 2024 Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction CoRL 2024 Trajectory Improvement and Reward Learning from Comparative Language Feedback CoRL 2024 Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback ICLR 2024 Unsupervised Human Preference Learning EMNLP 2024 VBench: Comprehensive Benchmark Suite for Video Generative Models CVPR 2024 WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences NeurIPS 2024 Aligning Language Models with Human Preferences via a Bayesian Approach NeurIPS 2023